---
title: Agent with Storage
---

## Code

```python cookbook/models/vllm/db.py

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.vllm import VLLM
from agno.tools.duckduckgo import DuckDuckGoTools

# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)

agent = Agent(
    model=VLLM(id="Qwen/Qwen2.5-7B-Instruct"),
    db=db,
    tools=[DuckDuckGoTools()],
    add_history_to_context=True,
)

agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")
```

<Note>
 Ensure Postgres database is running.
</Note>

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install Libraries">
    ```bash
    pip install -U agno openai vllm sqlalchemy psycopg ddgs
    ```
  </Step>

  <Step title="Start Postgres database">
    ```bash
    ./cookbook/scripts/run_pgvector.sh
    ```
  </Step>
  
  <Step title="Start vLLM server">
    ```bash
    vllm serve Qwen/Qwen2.5-7B-Instruct \
        --enable-auto-tool-choice \
        --tool-call-parser hermes \
        --dtype float16 \
        --max-model-len 8192 \
        --gpu-memory-utilization 0.9
    ```
  </Step>

  <Step title="Run Agent">
    ```bash
    python cookbook/models/vllm/db.py
    ```
  </Step>
</Steps> 
